Big Data-based Method of Determining Abnormal Line Loss in Low-voltage Station Area
Effective management against line loss of the large number of low-voltage station areas is of great importance to cost-effectiveness improvement of power grids,and also of high difficulty.In view of this,a model for determining abnormal line loss in low-voltage station areas based on big data technology is proposed.First the influencing factors of abnormal line loss are outlined and divided into 12 categories.Second the line loss diagram is obtained by collecting data using big data technology and performing current calculation using three-phase method.The line loss diagram is then clustered and analyzed to obtain a typical distribution network line loss anomaly diagram,which facilitates rapid detection of anomaly type of line loss,and the compass layout is employed to realize anomaly display.The proposed model has been preliminarily indicated effective via a case verification.
big datalow-voltage station areainfluencing factors of line lossline loss diagram
NETL
NSTL
万方数据
